Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
7-2005
Abstract
This paper described our approach of multibiometrics in a single image. Firstly, a new method for capturing the key points of hand geometry is proposed. Then, we described our new method of palmprint feature extracting. By using projection transform and wavelet transform, this method considered both the global feature and local detail of a palmprint texture and proposed a new kind of palmprint feature. We also proposed a twice segmentation method for handgeometry feature extraction. In the processing of feature matching, we analyzed the weakness of the traditional Euclidian Square Norm method, and introduced an improved method. The experimental results demonstrated the effectiveness and accuracy of these proposed method.
Discipline
Databases and Information Systems | Graphics and Human Computer Interfaces
Research Areas
Intelligent Systems and Optimization
Publication
Proceedings of the 4th Annual ACIS International Conference on Computer and Information Science, ICIS 2005, Jeju Island, South Korea, 2005 July 14-16
Volume
2005
First Page
495
Last Page
500
ISBN
9780769522968
Identifier
10.1109/ICIS.2005.91
Publisher
IEEE
City or Country
Jeju Island, South Korea
Citation
1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Databases and Information Systems Commons, Graphics and Human Computer Interfaces Commons